{"accessLevel": "public", "bureauCode": ["020:00"], "contactPoint": {"fn": "Grace Patlewicz", "hasEmail": "mailto:patlewicz.grace@epa.gov"}, "description": "Dataset for journal article \"Comparing the performance and coverage of selected in silico (liver) metabolism tools relative to reported studies in the literature to inform analogue selection in read-across: A case study\". \n\nThis dataset is associated with the following publication:\nBoyce, M., B. Meyer, C. Grulke, L. Lizarraga, and G. Patlewicz. Comparing the performance and coverage of selected in silico (liver) metabolism tools relative to reported studies in the literature to inform analogue selection in read-across: A case study.   Computational Toxicology. Elsevier B.V., Amsterdam,  NETHERLANDS, 21: 100208, (2022).", "distribution": [{"accessURL": "https://clowder.edap-cluster.com/datasets/61147fefe4b0856fdc65639b#folderId=61b8d8e7e4b0d5d4d1e35b76", "title": "https://clowder.edap-cluster.com/datasets/61147fefe4b0856fdc65639b#folderId=61b8d8e7e4b0d5d4d1e35b76"}], "identifier": "https://doi.org/10.23719/1524371", "keyword": ["Metabolism", "Read-across", "in silico", "new approach methodologies"], "license": "https://pasteur.epa.gov/license/sciencehub-license.html", "modified": "2021-12-15", "programCode": ["020:000"], "publisher": {"name": "U.S. EPA Office of Research and Development (ORD)", "subOrganizationOf": {"name": "U.S. Environmental Protection Agency", "subOrganizationOf": {"name": "U.S. Government"}}}, "references": ["https://doi.org/10.1016/j.comtox.2021.100208"], "rights": null, "title": "Comparing the performance and coverage of selected in silico (liver) metabolism tools relative to reported studies in the literature to inform analogue selection in read-across: A case study"}